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Published April 2011 | Published
Journal Article Open

Modeling near-field tsunami observations to improve finite-fault slip models for the 11 March 2011 Tohoku earthquake

Abstract

The massive tsunami generated by the 11 March 2011 Tohoku earthquake (M_w 9.0) was widely recorded by GPS buoys, wave gauges, and ocean bottom pressure sensors around the source. Numerous inversions for finite-fault slip time histories have been performed using seismic and/or geodetic observations, yielding generally consistent patterns of large co-seismic slip offshore near the hypocenter and/or up-dip near the trench, where estimated peak slip is ~60 m. Modeling the tsunami generation and near-field wave processes using two detailed rupture models obtained from either teleseismic P waves or high-rate GPS recordings in Japan allows evaluation of how well the finite-fault models account for the regional tsunami data. By determining sensitivity of the tsunami calculations to rupture model features, we determine model modifications that improve the fit to the diverse tsunami data while retaining the fit to the seismic and geodetic observations.

Additional Information

© 2011 by the American Geophysical Union. Received 1 August 2011; revised 15 September 2011; accepted 16 September 2011; published 18 October 2011. This work made use of GMT, SAC and Matlab software. The IRIS DMS data center was used to access the seismic data. We thank L. Rivera for providing the normal mode data set. Our hrGPS data, generously made available by C. Rocken of GPS Solutions, Inc. originated with efforts by GSI, NGDS, Hitz, GPSS, and VERIPOS. We thank T. Kuwayama for supplying the 20 arc‐sec Japan bathymetry data. The recorded DART buoy data were obtained from the NOAA National Data Buoy Center. NOWPHAS GPS and wave gauges data maintained by Ports and Harbors Bureau, Ministry of Land, Infrastructure, Transport, and Tourism (MLIT), Japan, were provided by Port and Airport Research Institute (PARI), Japan. We thank the two anonymous reviewers for their thoughtful comments that have improved this paper. This work was supported in part by NSF grant EAR0635570 (T. L.). SOEST contribution 8492. The Editor thanks two anonymous reviewers for their assistance in evaluating this paper.

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August 22, 2023
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